Principal Product Manager Principal Product Manager About RudderStack At RudderStack, we are redefining enterprise-scale data collection and routing. We are building a customer data platform (CDP) on the customer's own data warehouse. Our open-source, developer-first approach is the first of its kind. We understand the outsized impact customer data has on businesses, and we understand the challenges and pain points. We are looking to solve the customer data management problem in enterprises, once and for all, in a secure, compliant and cost-effective way. RudderStack collects data from 30+ sources, can transform events on the fly, and routes to 150 different marketing, sales, product, analytics applications all with one snippet of code. We’re backed by Insight Partners, Kleiner Perkins and S28 and have raised a total of $82 million in funding. Our customers include Crate + Barrel, Acorns, PrizePicks, and Cars.com. We process critical customer data for some top companies around the world, and are looking for ambitious individuals to join our team and help shape the future of our product.
About
the Role We're seeking a Principal Product Manager to join our product team at RudderStack and own strategic initiatives across our Core Product, Activation and AI roadmaps. This is a senior individual contributor role reporting to the Director of Product. You'll bring deep fluency in data infrastructure paired with genuine empathy for the business users who've been promised "data-driven everything" but are still waiting on engineering tickets to build audiences or sync data to their tools. If you've ever been frustrated watching powerful data capabilities remain locked behind technical barriers, this role is your chance to fix that. We're building an AI-first Product Org. We ship fast, validate faster, and have zero patience for product theatre. You'll spend your time with customers, in the product, and collaborating directly with engineers; not grooming backlogs or manually crafting 40-page PRDs that no one reads. Product Strategy & Ownership Own critical product areas end-to-end, from discovery through delivery and iteration Develop deep expertise across RudderStack's platform: data collection, identity resolution, warehousing integrations, reverse ETL, audience building, and AI capabilities Identify where AI can fundamentally reimagine how users interact with their data (natural language interfaces, predictive workflows, automated insight generation) Define success metrics for your product areas and relentlessly drive toward reducing time-to-value Instrument funnels and build feedback loops that drive rapid iteration Product Execution Ship. Validate. Iterate. We're not interested in six-month roadmaps that become fiction; you'll operate in tight cycles with direct customer feedback Partner with engineering to build intuitive self-serve experiences that abstract away infrastructure complexity Own the interfaces where non-technical users interact with RudderStack, ensuring they can realise value without filing engineering tickets Leverage AI throughout your own workflow. We expect you to specify, prototype, analyse, and move faster because of it Customer & User Obsession Develop genuine empathy for marketing, product, and revenue ops personas who need data but aren't data engineers Spend significant time with customers understanding their end-to-end journeys, not just their feature requests Understand the gap between what data teams build and what business users can actually access, then close it Translate technical capabilities into business outcomes that non-technical users care about Cross-functional Impact Collaborate with Growth and Marketing on product-led strategies that demonstrate value before requiring setup Partner with Customer Success to identify usage patterns that predict long-term success Work directly with engineers on implementation. We don't have walls between PM and engineering Influence how we talk about our platform externally through positioning, content, and customer storytelling
Requirements Must-Haves Data infrastructure fluency: You understand the modern data stack deeply (warehouses, ETL/ELT, reverse ETL, CDPs) and how data actually flows. You can hold your own in technical architecture discussions. Business user empathy: You've seen firsthand how powerful data capabilities fail to reach the people who need them. You're motivated by making complex things accessible. AI-native mindset: You're already using AI to move faster in your work and have a point of view on how AI will transform data products. You're eager to explore and ship AI-native experiences. Bias toward shipping: You've operated in environments where you shipped quickly, learned from real usage, and iterated. You're allergic to process theatre and lengthy planning cycles. Technical collaboration: You work directly with engineers as thought partners, not order-takers. You can sketch technical approaches and engage meaningfully on tradeoffs. Communication clarity: You write crisply, present compellingly, and can translate between technical and business audiences effortlessly. Strong Signals You've built products specifically for non-technical users in data or analytics contexts You have experience with product-led growth and self-serve onboarding You've shipped AI-powered features (not just talked about them) You can write SQL and aren't afraid to dig into data yourself You've worked in the modern data stack ecosystem (Snowflake, BigQuery, dbt, Census, Hightouch, etc.) You've felt the pain of data tooling from the business user side What We're Not Looking For Product managers who need detailed specs and process to function Candidates who view AI as someone else's problem or a future consideration People who are more comfortable in meetings than with customers or in the product Those who measure success by outputs (features shipped) rather than outcomes (users succeeding) What We Offer High-impact role defining how business users experience the power of customer data An AI-first product org that values speed, experimentation, and customer outcomes over process Significant autonomy to shape both the product and
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compensation package with meaningful equity Comprehensive
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Salary
$125,000 - $275,000
Location
Remote
Total raised
$82.0M
Last stage
Growth
Investors
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